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Security Scan Report: kataclouddaily-dpz8mflvan0o.edgeone.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8cab464e-6918-4292-8f4f-5f0160b9f28bDomain and IP registration (RDAP)/api/v1/rdap/8cab464e-6918-4292-8f4f-5f0160b9f28bHow often this domain was scanned/api/v1/domain/stats/kataclouddaily-dpz8mflvan0o.edgeone.appScan history for this domain/api/v1/domain/history/kataclouddaily-dpz8mflvan0o.edgeone.app?limit=15
This website contacted 4 IPs in 2 countries across 9 domains to perform 12 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://kataclouddaily-dpz8mflvan0o.edgeone.app/14-extraordinary-facts-about-janet-street-porter.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk news article; no malicious indicators detected.

Risk Factors (1)
Unknown creation date of the sub‑domain
Safety Factors (3)
Content classified as news/media article with high confidence
No credential collection or payment fields
No external malicious links or suspicious external domains
Domain age information unavailable

Details

Page Title

14 Extraordinary Facts About Janet Street-Porter

Scan Type

public

Domain Name Analysis

The domain name 'kataclouddaily-dpz8mflvan0o.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'kataclouddaily-dpz8mflvan0o'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kataclouddaily-dpz8mflvan0o.edgeone.app/14-extraordinary-facts-about-janet-street-porter.html

Page Load Overview

2.13s
Total Load Time
47 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:9,128 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
97%
entertainment media
79%
social media network
72%
government public service
49%
adult content
48%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
3172.240.127.244United States
AS7979Servers.com, Inc.
3142.250.154.95United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
124--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129921B37BB84637D16A2460591C2B6FC7A29801EF381CDF9A9DC936913432D6133B6DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSOhnYf8zX+cL0LzCf6Vovul37XXQYuF83gXgRA42PT5z5jcKaDRoTz26PzgpBoC:TOhnz+cL0LzC0ov637Xgfy3gXx42b5dG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20700:ghYCABCRAYVAohgGMVDKEGwIFOyFJkcAJGAoKAEQgIcAA00QiGSAjNy4WJFBBAEKE4AgqwDoUgQvBIRiYPIC4GQRLUKglLC4

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:187000007d7d7d3d
Perceptual Hash:8a6dcd9a3c1c389b
Difference Hash:f1c55921c9d1d1c1
Wavelet Hash:197101017d7d7d3d
Color Hash:#bfae40

Other Hashes

Crop Resistant:f1c55921c9d1d1c1

Scan History

Scan history not available

Unable to load historical scan data